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databricks-llama-4-maverick Cost Calculator - Databricks

Calculate the cost of using databricks-llama-4-maverick from Databricks for your AI applications

databricks-llama-4-maverick Cost Calculator

Mode: Chat

Max: 128,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.00050001
Output Cost$0.001500
Total Cost$0.002000

Pricing Details

Input: $0.0000005000 per token
Output: $0.00000150 per token
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Model Specifications

Limits

Max Input Tokens128,000
Max Output Tokens128,000
Max Tokens128,000

About databricks-llama-4-maverick

databricks-llama-4-maverick is a powerful chat AI model offered by Databricks. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using databricks-llama-4-maverick in your applications.

Pricing Information

Input Cost$0.50 per 1M tokens
Output Cost$1.50 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens128,000
Maximum Output Tokens128,000
Maximum Total Tokens128,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 128,000 input tokens. The maximum output length is 128,000 tokens.

When should you use databricks-llama-4-maverick?

databricks-llama-4-maverick is best suited for the following scenarios:

  • Long-context chat and document analysis
  • Agent workflows with large memory windows
When should you avoid databricks-llama-4-maverick?
  • High-volume text generation where output cost dominates
  • Streaming or verbose response workloads
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
How does databricks-llama-4-maverick compare to similar models?

Compared to other models in a similar category, this model is more cost-efficient on input tokens but relatively expensive on output tokens. It is better suited for retrieval-heavy or context-rich workflows than generation-heavy use cases.

Understanding databricks-llama-4-maverick pricing
  • databricks-llama-4-maverick is a general-purpose AI model provided by Databricks.
  • Input tokens are priced at $0.50 per 1M tokens.
  • Output tokens are priced at $1.50 per 1M tokens.
  • The model supports a maximum input capacity of 128,000 tokens.
  • Maximum output length is 128,000 tokens.
  • For this model, input tokens are less expensive than output tokens, so optimizing your prompts can help manage costs.
  • Databricks offers databricks-llama-4-maverick for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.

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